Today, it’s no question that we generate more logs than we ever have before. However, due to a large amount of data constantly analyzing and resolving various issues, the process is becoming less and less straightforward.
Essentially, log management helps to integrate all logs for analysis. An important preliminary phase is Log aggregation, which is the act of collecting events logs from different systems and data sources. It includes the flow and tools necessary to gather all data into one single secure data repository. The log repository is then analyzed to generate and present the metrics and insights needed for the operations team.
Today, the most popular tools for log aggregation are Kafka and Redis. Both tools provide the functionality of data streaming and aggregation in their own respective ways. In this post, we are going to compare the two in regards to their various capabilities and performance tests.